OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)
As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce...
Keywords: international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)
https://zenodo.org/records/4289356
https://dresa.org.au/materials/oecd-report-building-digital-workforce-capacity-and-skills-for-data-intensive-science-2020-a456ae97-9241-4fc6-b7f9-57c201479317
As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce capacity needed for data-intensive science, based on analysis of best practice.
The presentation highlights:
- Digital workforce capacity and COVID19: the importance of digital skills, the need for shared access to open data, software and code, and the shortfall in skills to enable a comprehensive response to such emergencies
- The ongoing need for a digital skilled workforce for data-intensive science
- Five focus areas in the report include:
1. Enablers for digital workforce capacity development
2. Defining needs: digital skills, frameworks and roles
3. Provision of training
4. Community development
5. Career paths and reward structures - Recommendations for actors incl. universities, national or regional governments
contact@ardc.edu.au
Barker, Michelle (orcid: 0000-0002-3623-172X)
international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)
Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building...
Keywords: training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)
https://zenodo.org/records/7710856
https://dresa.org.au/materials/ardc-2023-skills-summit-lightning-talks-day-1-february-9-2023-c91367d6-2366-4a4e-aa05-631d1e5fd95f
Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building community
Dr Mark Crowe - Bringing training to research communities - ResBaz
Liz Stokes - The Carpentries Partnership
These presentations cover theoretical frameworks for assessing training, The Kirkpatrick Model of Training Evaluation, outreach, RezBaz, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building ideas, visible research software interest group, The Carpentries and social infrastructure.
contact@ardc.edu.au
Franco, Pablo (orcid: 0000-0003-2608-2035)
Wilson, Aidan (orcid: 0000-0001-9858-5470)
Martinez, Paula (orcid: 0000-0002-8990-1985)
Crowe, Mark (orcid: 0000-0002-9514-2487)
Stokes, Liz (orcid: 0000-0002-2973-5647)
training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
